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Redwood City, CA
Oleg Rogynskyy
Home  >  Companies  > is a revenue intelligence platform for B2B salespeople.







Growth Rate (y/y)







None’s revenue (2021) is estimated at $40.5M having grown about 100% year-on-year over the last two years propelled considerably by the 260% growth in customers in 2021. makes money via a SaaS-style monthly subscription. Pricing is on a per-seat basis and starts at $50 per user per month.


None raised $200M (excluding an undisclosed debt funding round) and was most recently valued at $1.1B. In August, 2021, it had raised $100M at twice the valuation of its previous funding round in 2019. Its closest competitor in the revenue intelligence industry, Gong, is valued at $7.25B with an estimated revenue of $100M (2021) while another competitor,, was bought by ZoomInfo in July, 2021 for $575M. competes with large revenue operations and sales engagement startups such as, Clari ($2.6B), Outreach ($4.4B), and Salesloft ($2.3B).


NoneNone, a revenue intelligence platform, was launched in 2016 in response to the need for an efficient data collation tool in the B2B sales market. Previously, sales reps across companies would use spreadsheets rather than Salesforce and resort to manual data entry to record their progress in winning deals. eliminated time-consuming data entry processes, accurately measured progress of sales teams' deals, and indicated employee performances. In fact, since its launch, the tool has speeded-up and collected better data than Salesforce while upping sales teams' productivity.

Not only does the tool automatically move data from spreadsheets into Salesforce but it also connects with reps’ inboxes, calendars, phones, and virtual conference platforms and collates information like total time spent on calls and meetings, emails exchanged, and contacts engaged. Leveraging AI, it then matches that data to the corresponding opportunity, contact, and buyer records in Salesforce. With, sales managers can spot what their salespeople are dup to at various stages of the deal without chasing them for data entry.’s products products include: Data Platform, Account Management, and Salesforce Data Management.

Data Platform: This is’s core product which automates Salesforce data entry using Artificial intelligence. leverages data from human interactions such as emails, calls, and calendars, and digital interfaces such as marketing automation platforms (Marketo), sales engagement tools (Outreach), and social platforms (LinkedIn). Its AI algorithms use the learning from data ingested over the years, including 350 million sales activities, 40 million contacts, and $100 billion in closed deals. correlates the sales activity data with Salesforce data on opportunities/deals closed to surface insights on those activities that enable top performers to close more deals and coaching opportunities for salespeople falling behind. It also matches activity data with the company’s historical trends and industry standards to proactively flag low buyer engagement deals, single-threaded deals, or missing executive engagement. These insights are available natively in Salesforce to avoid cross-tabbing by salespeople.

Account Management: This tool is built on top of ClosePlan, a Salesforce app that acquired in October, 2020. It leverages the contacts and deals data in to automate various account management processes such as organization charts, account scorecards, and account engagement dashboards. Sales managers and reps get a window into the health of an account and can find untapped revenue areas or at-risk accounts to focus on.

Salesforce Data Management: This tool is built on the acquisition of Hero Research in May, 2021 and branded as PeopleGlass. It provides a spreadsheet-type interface for salespeople to enter data into Salesforce. It replaces the spreadsheets maintained by salespeople for regular information updates thereby, reducing data-entry effort while improving Salesforce data quality.

Competition competes not just with other revenue intelligence companies, but also with revenue operations and sales engagement organizations for market share. These companies have overlapping features that target the same use cases: SFA automation, sales activity insights, and salespeople performance-tracking.

Revenue intelligence companies such as Gong (valued at $7.25B) and ($575M) are two of the largest revenue intelligence companies. Both connect with salespeople’s audio/video apps and use AI to not just scrape activity data like but analyze what’s being said on sales calls. They use it to improve salespeople’s performance. For instance, Gong provides automated reminders for follow-up, cites topics for salespeople to discuss on calls, elaborates how much they should talk vs. listen, and shares conversation styles of successful sales reps. was recently acquired by ZoomInfo and acquired a direct on-ramp into their proprietary information/tools. In the last couple of years, revenue operations and sales engagement companies have released considerable revenue intelligence features to offer all-in-one tech solutions for sales teams.

Revenue operations companies are typically used by sales teams for sales forecasting, pipeline management, and account management. These include companies such as Clari (valued at $2.6B) and Aviso ($106M). Sales engagement companies such as ($4.4B) and Salesloft ($2.3B) that provide communication tools for reaching out to prospects and building the sales pipeline have also added revenue intelligence features. These companies have the benefit of an existing customer base to whom they can cross-sell the revenue intelligence products. Revenue Intelligence features offered by these companies are not best-in-class yet, compared to dedicated revenue intelligence companies but they are evolving fast.

TAM Expansion


None is betting big on moving beyond revenue intelligence and aggregating the data of entire sales tech stack. It's assisted by a few tailwinds:

  1. Over the years, B2B sales leaders have added sales tech tools to plug-in holes left after implementing Salesforce/SFA. However, these tools don’t talk to each other and every tool reports slightly different values for the same metrics as they interpret data differently. An average enterprise sales rep uses 5-10 sales tech tools and the sales data is split across silos.
  2. COVID has fuelled the transition of B2B sales from physical to digital. It is estimated that by 2025, ~80% of buyer-seller interactions will happen digitally. This creates an enormous digital data footprint, which compounds the problem of fragmented data across different tools. aims to unify this data by building infrastructure that integrates with other sales tech solutions rather than competing with them. As the single source of all sales data for the B2B sales companies, it plans to send the data using APIs to any BI tool that companies use so that everyone gets to view the same data irrespective of sales tech tools used. In theory then, can take a much larger chunk of sales tech market, compared to just being a revenue intelligence company. However, it will need a strong GTM to convince B2B sales companies to make more investment in a new data infrastructure. These companies have already invested heavily in Salesforce/SFA and expect it to be their single window for data.


Commoditization of revenue intelligence as a feature

Revenue operations and sales engagement companies are aggressively rolling out revenue intelligence features. While these are not as good as dedicated solutions right now, these can improve to the extent that the entire revenue intelligence category becomes a feature of revenue operations/sales engagement products.

Falling behind in the core revenue intelligence features may fall behind the curve in core revenue intelligence innovation as it focuses on the data management layer and not on applications. Some of its features are already considered lagging behind Gong and, and it risks losing out on customers that want cutting-edge revenue intelligence features. If its GTM for the data layer doesn’t deliver as expected, it risks being stuck with a dated product.

Oleg Rogynskyy
Founder & CEO
Art Harding
Thomas Wyatt
Joel Hofman
Chief Customer Officer
Mariana Prado Cogan




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